Dataset Versions
v6
2023-11-08 11:25pm
Generated on Nov 8, 2023
1278 Total Images
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Dataset Split
Train Set 88%
1128Images
Valid Set 8%
102Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between 0% and +33%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical